enaR

Provides a set of high-level functions for conducting ecological network analysis.
https://github.com/seelab/enar

Category: Biosphere
Sub Category: Species Distribution Modeling

Last synced: about 8 hours ago
JSON representation

Repository metadata

enaR = Ecological Network Analysis in R

• Host: GitHub
• URL: https://github.com/seelab/enar
• Owner: SEELab
• Created: 2013-09-05T16:52:53.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2025-10-11T14:56:17.000Z (7 months ago)
• Last Synced: 2026-04-05T07:54:23.150Z (24 days ago)
• Language: HTML
• Homepage: https://seelab.github.io/enaR/
• Size: 29.8 MB
• Stars: 25
• Watchers: 12
• Forks: 12
• Open Issues: 24
• Releases: 8
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md

README.Rmd

          ---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# enaR: Tools for Ecological Network Analysis


[![pkgdown](https://github.com/SEELab/enaR/actions/workflows/pkgdown.yaml/badge.svg)](https://github.com/SEELab/enaR/actions/workflows/pkgdown.yaml)
[![R-CMD-check](https://github.com/SEELab/enaR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/SEELab/enaR/actions/workflows/R-CMD-check.yaml)


[![DOI](https://zenodo.org/badge/12623293.svg)](https://zenodo.org/badge/latestdoi/12623293)


`enaR` provides a set of high-level functions for conducting ecological network analysis (ENA). These functions allow users to access the many tools developed over decades of work by ecologists looking for ways to measure aspects of the struture and functioning of complex ecological systems, such as food-webs or biogeochemical cycles. 

In addition to collecting the many ENA algorithms together into a
single, open-source toolbox,`enaR` also facilitates the import, construction and simulation of ecological network models. There are multiple functions for reading in data from many of the various model formats that have arisen over the years.

## Installation

You can install the current release `enaR` like so:

``` r
remotes::install_github("SEELab/enaR")
```

## Basic Usage

Load a model from our set of models included with the package and
generate the full set of ENA metrics and indicators:

```{r example}
library(enaR)
data(enaModels)
model <- enaModels[[8]]
model.ena <- enaAll(model)
```

You can now explore the many metrics produced for the model, such as
structural aspects of the model:

```{r metrics}
model.ena$structure
```

For a more in-depth introduction to ENA and how to use the
[enaR](https://cran.r-project.org/package=enaR) package, you can view
our [website](https://seelab.github.io/enaR/)

        

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Owner metadata

• Name: Systems Ecology and Ecoinformatics Laboratory
• Login: SEELab
• Email:
• Kind: organization
• Description:
• Website: http://people.uncw.edu/borretts/
• Location: University of North Carolina Wilmington
• Twitter:
• Company:
• Icon url: https://avatars.githubusercontent.com/u/6361753?v=4
• Repositories: 9
• Last ynced at: 2024-03-27T11:17:19.430Z
• Profile URL: https://github.com/SEELab

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GitHub Events

Total

• Release event: 1
• Pull request event: 20
• Fork event: 1
• Issues event: 10
• Watch event: 3
• Issue comment event: 12
• Push event: 31
• Create event: 4

Last Year

• Watch event: 1

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Committers metadata

Last synced: about 11 hours ago

Name	Email	Commits
mklau	m****u@f****u	199
borretts	s****t@g****m	130
mkl	m****8@n****u	112
andybeet	2****t	32
Pawandeep Singh	s****p@u****u	20
Pawandeep Singh	s****p@1****u	2
David Hines	d****1@B****l	2
The SEE Lab at UNCW	e****r@g****m	1
Dave Hines	d****1@g****m	1
borretts	b****s@o****l	1

Committer domains:

• 152-20-221-151.rev.uncw.edu: 1
• uncw.edu: 1
• nau.edu: 1
• fas.harvard.edu: 1

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Issue and Pull Request metadata

Last synced: 24 days ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/seelab/enar

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Dependencies

Score: 6.194405391104672